deeplizard debugs the PyTorch DataLoader to see how data is pulled from a PyTorch data set and is normalized.

We see the impact of several of the constructor parameters and see how the batch is built.

Content index:

• 0:00 Welcome to DEEPLIZARD – Go to deeplizard.com
• 0:45 Overview of Program Code
• 3:12 How to Use Zen Mode
• 3:56 Start the Debugging Process
• 4:38 Initializing the Sampler Based on the Shuffle Parameter
• 5:35 Debugging next(iter(dataloader))
• 7:57 Building the Batch Using the Batch Size
• 10:37 Get the Elements from Dataset
• 18:43 Tensor to PIL Image
• 20:41 Thanks for Contributing to Collective Intelligence